Timeline for Can a dynamic language like Ruby/Python reach C/C++ like performance?
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5 events
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| Sep 8, 2015 at 15:40 | comment | added | Konrad Rudolph | @Demetri I know this. But it’s very hard to quantify whether this is an advantage — see my answer and the comment discussion there. In a nutshell: while the JIT can adapt to change in usage, it also needs to track stuff at runtime, which incurs an overhead. The break-even for this is intuitively only where frequent changes in behaviour occur. For web apps, there’s probably just a single (or very few) usage pattern for which optimisation pays off, so the minimal performance increase due to adaptability doesn’t offset the overhead of continuous profiling. | |
| Sep 8, 2015 at 15:33 | comment | added | Demi | @KonradRudolph The key advantage of a JIT is that the JIT adapts the code as different paths become hot. | |
| Sep 8, 2015 at 12:47 | comment | added | Konrad Rudolph | I’m very sceptical of the claim that PGO couldn’t match the performance of the LuaJIT for web application code under typical workload. | |
| Sep 8, 2015 at 7:10 | comment | added | Raphael | How is this an answer? Well, bullet three maybe, if you added references. | |
| Sep 8, 2015 at 0:31 | history | answered | Demi | CC BY-SA 3.0 |